The compare between two DNN-based signal suppression methods

Taiwei Cui

doi:10.1117/12.2645726

23 August 2022 The compare between two DNN-based signal suppression methods

Taiwei Cui

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123050T (2022) https://doi.org/10.1117/12.2645726
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

In this article, the efficiency of two methods of speech enhancement algorithm, both of which used Deep Neural Network, are compared. The first method is based on mapping and the second one based on masking. For the method based on mapping, the input of the network is the power spectrum of noisy signal and figure out the power spectrum of suppressed signal. For the algorithm based on masking, the input is the Time-Frequency spectral of noisy signal, and then figure out the Ideal Ratio Masking (IRM) of the signal. And by multiply the element of IRM matrix with the corresponding element of spectral, the signal of pure speech is expected to be got. And the compare of the PESQ scores of the ideal signal and the result figured by the different methods shows, that in the method based on the masking performs better.

Citation Download Citation

Taiwei Cui "The compare between two DNN-based signal suppression methods", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123050T (23 August 2022); https://doi.org/10.1117/12.2645726

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